Tata Technologies Hiring Drive 2024 For Data Scientist (AI/ML) | Location Pune

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Tata Technologies Hiring Drive 2024: Tata Technologies Hiring Drive 2024 for its Data Scientist (AI/ML). Tata Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: Tata Technologies

Role: Data Scientist (AI/ML)

Location: Pune

Experience: 2-5 Years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: 8.0 LPA (Expected)

Tata Technologies Hiring Drive 2024

Requirements:

  • Good in Communication Skills and Programming. Should be passionate and work oriented.
  • Should be ready to work in Shifts as needed.
  • The work is at client site & has alternate Saturday as weekly off.
  • The project is for automobile domain & requires engineering skills as a basic background.
  • The employee should be eager to learn new technologies.

Responsibility:

  • Design, develop, test, validate, and deploy Predictive Analytics/Machine Learning (ML) /Statistical models as part of new product development and/or projects.
  • Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights.
  • Present findings to technical audiences
  • Stay up to date on ML, Big Data technologies sharing learnings with the teams.
  • Exceptional problem-solving abilities with an understanding of statistical methods
  • Experience in machine learning methods (e.g., cluster analysis, decision trees, random forest, neural networks, logistics regression) to model and predict research outcomes.
  • Proficient in advanced mathematical techniques (correlation, regression, time series analysis, analysis of variance, etc.) to forecast outcomes.
  • Experience working with databases (Teradata, Oracle, SQL and NoSQL dbs) and interpreting data; experience with feature engineering and data wrangling of both unstructured and structured data sets.\

Skills:

  • Machine Learning Algorithms
  • Statistical Methods
  • Python, R
  • Flask
  • Neural Network

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